# Aniruth Ramesh

> Senior AI SWE @ Alpha AI — Building Agentic Platform that Turn Specs into Automated Workflows | CS @ NEU | Prev @ Stealth

Location: Greater Seattle Area, United States
Profile: https://flows.cv/aniruth

I build AI-native platforms that transform business specs into working systems—think “Vercel v0, but for AP/AR workflow automation.”

At Alpha AI, I work closely with our CTO to make key architectural decisions & Implement them on our Conversation first iPaaS platform. So far, I have:

- Designed multi-agent orchestration that reduced setup time from 1 hr → 10 min through recursive AI processors that autonomously handle integration workflows. 
- Built conversational AI interface that enables business users to create complex integrations through natural language, eliminating traditional coding requirements.
- Improved LLM code generation accuracy by 50% using advanced prompt engineering & embedding domain knowledge the team currently holds.
- Implemented DAG Compiler service that transforms natural language integration requests into executable Apache Airflow workflows with <2 second compilation times.
- Introduced MCP servers as internal tools that now act as replacement for UI.
- Created pattern learning systems that continuously improve through user feedback, achieving 85%+ autonomous mapping accuracy.

I thrive in 0 → 1 environments, solving ambiguous problems with LLMs, agents, and scalable infra. I am committed to bringing a diverse perspective and interdisciplinary experience to enrich our collective endeavors.

## Work Experience
### Senior AI Software Engineer @ Alpha- Nap AI Inc.
Jan 2025 – Present | New York, United States
- Building conversational AI platform that transforms natural language integration requests into executable Apache Airflow workflows, enabling non-technical users to create complex enterprise integrations.
- Implementing AI agents with pattern learning capabilities that continuously improve through user feedback, achieving autonomous integration building with comprehensive audit trails for enterprise compliance.

### AI Software Engineer @ Alpha- Nap AI Inc.
Jan 2024 – Jan 2025 | New York, United States
- Leading Engineering efforts in building platform for Alpha AI to automate workflows in System Integration focusing on AP cycle.
- Working closely with Product Owner in taking key architectural decisions for the platform. Currently focusing on building Agent framework/Orchestration
- Improved existing System's LLM features by creating evaluation metrics to validate various prompts and achieved a 50% improvement over Baseline saving developers 10% of their development time.

### Software Engineer @ Stealth Startup
Jan 2024 – Jan 2024 | New York, United States
- Contributed to Developing 6 highly requested features by working closely with CTO and also developed 3 POCs using our platform. Through the team's efforts, the company achieved $60K in sales and signed $138K in LOIs within two months.

### Graduate Teaching Assistant @ Northeastern University
Jan 2024 – Jan 2024
Teaching Assistant for CS 6620 - Fundamentals of Cloud Computing

### Software Engineer @ Hyperfan
Jan 2023 – Jan 2023
• Secured additional funding for a pre-funded ($500k) social media startup from PEAK6 Investments by developing and launching the app (MVP)

### Graduate Teaching Assistant @ Northeastern University
Jan 2022 – Jan 2022
Teaching Assistant for CS 6200 - Information Retrieval

### Research Assistant @ Northeastern University
Jan 2022 – Jan 2022 | United States
- Worked closely with Professor David Smith on several Research projects

### Software Engineer @ Accenture in India
Jan 2021 – Jan 2021 | Chennai, Tamil Nadu, India
- Developed SPAs using React by pair programming in a Agile team of 16 Members. 
- Collaborated with DBA and QA to analyze inefficiencies in the Database Query Plans & the API

### Associate Software Engineer @ Sharp Enterprises Business Solutions
Jan 2019 – Jan 2021
- Contributed to the migration of legacy codebase to new codebase using React, Node.js, PostgreSQL, Redis and GraphQL, resulting in improved P99 latency from 650ms to 200ms


## Education
### Master of Science - MS in Computer Science
Northeastern University
Jan 2022 – Jan 2024

### BTech - Bachelor of Technology in Information Technology
Anna University Chennai
Jan 2017 – Jan 2021


## Contact & Social
- LinkedIn: https://linkedin.com/in/aniruth-ramesh

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Source: https://flows.cv/aniruth
JSON Resume: https://flows.cv/aniruth/resume.json
Last updated: 2026-03-20